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Intern Computer Vision Deep Learning Engineer Jobs in Hartford, CT

Infosys

AI Engineer

Hartford, CT · On-site

The role of AI Engineer involves developing and operationalizing machine learning models, ensuring ... deep learning models including LLMs using predefined processes and tools like SAS and R/ Python ...

The Hartford

Staff Software Engineer - AI

Hartford, CT · On-site

$127K - $191K/yr

The ideal candidate will possess deep expertise in AI/ML, software engineering, quality engineering ... Experience withnatural language processing (NLP),computer vision, orreinforcement learning.

Infosys Limited Digital

AI Engineer

Hartford, CT · On-site

$115K - $138K/yr

... ML, ML, and deep learning algorithms, while enhancing analytics including LLMs, and create ... Medical/Dental/Vision/Life Insurance * Long-term/Short-term Disability * Health and Dependent Care ...

Pursuit Aerospace

Intern

South Windsor, CT · On-site

$14.50 - $19.50/hr

Our exceptional quality is driven by a deep investment in and the daily practice of continually ... Pursuing a degree in Computer Engineering, or related technical field. * Must be authorized to work ...

Marmon

Marketing Communications Intern

East Granby, CT · Hybrid

$19 - $22/hr

We have over 100 years of innovative engineered solutions for critical, industrial, and commercial ... As an intern in our comprehensive summer program, you will gain substantial personal learning and ...

Infosys

AI Engineer

Hartford, CT · On-site

... AI Engineer to join their Data and Analytics unit. The role involves participating in data ... deep learning models including LLMs using predefined processes and tools like SAS and R/ Python ...

Marmon Holdings, Inc.

Manufacturing Intern

East Granby, CT · On-site

$21 - $23/hr

We're committed to making a positive impact on the world, providing you with diverse learning and ... We have over 100 years of innovative engineered solutions for critical, industrial, and commercial ...

Marmon

Manufacturing Intern

East Granby, CT · On-site

$23/hr

We're committed to making a positive impact on the world, providing you with diverse learning and ... We have over 100 years of innovative engineered solutions for critical, industrial, and commercial ...

Marmon

Manufacturing Intern

East Granby, CT

$23/hr

We're committed to making a positive impact on the world, providing you with diverse learning and ... We have over 100 years of innovative engineered solutions for critical, industrial, and commercial ...

Varsity Tutors

Computer Programming Tutor

Hartford, CT · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of programming fundamentals including variables, data types, control structures ...

Infosys Limited Digital

AI Engineer

Hartford, CT · On-site

$115K - $138K/yr

... deep learning models including LLMs using predefined processes and tools like SAS and R/ Python ... Medical/Dental/Vision/Life Insurance * Long-term/Short-term Disability * Health and Dependent Care ...

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All JobsIntern Computer Vision Deep Learning Engineer JobsIntern Computer Vision Deep Learning Engineer Jobs in Hartford, CT

Intern Computer Vision Deep Learning Engineer information

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How much do intern computer vision deep learning engineer jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for intern computer vision deep learning engineer in Hartford, CT is $17.18, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $19.38 per hour, depending on experience, location, and employer.

What is the difference between Intern Computer Vision Deep Learning Engineer vs Intern Machine Learning Engineer?

AspectIntern Computer Vision Deep Learning EngineerIntern Machine Learning Engineer
Required SkillsComputer vision, deep learning, CNNs, Python, TensorFlow/PyTorchMachine learning, algorithms, Python, scikit-learn, TensorFlow/PyTorch
Work EnvironmentResearch labs, tech companies, startups focusing on image/video analysisTech companies, research labs, startups working on diverse ML applications
Industry UsagePrimarily in computer vision projects like object detection, image segmentationBroader ML projects including predictive modeling, NLP, recommendation systems

Intern Computer Vision Deep Learning Engineers focus on image and video analysis using deep learning techniques, while Intern Machine Learning Engineers work on a wider range of ML applications. Both roles require strong Python skills and familiarity with deep learning frameworks, but their project focus and industry applications differ.

What types of projects or tasks can I expect to work on as an Intern Computer Vision Deep Learning Engineer?

As an Intern Computer Vision Deep Learning Engineer, you can expect to contribute to projects involving image or video analysis, such as object detection, image classification, or facial recognition. Your daily tasks might include data preprocessing, annotating datasets, training and evaluating deep learning models, and assisting with model optimization for deployment. You’ll often work closely with senior engineers and researchers, gaining hands-on experience with real-world datasets and cutting-edge frameworks. Collaboration with cross-functional teams, such as software developers and product managers, is common to ensure your models address practical business needs.

What does an Intern Computer Vision Deep Learning Engineer do?

An Intern Computer Vision Deep Learning Engineer assists in developing and improving algorithms that enable computers to interpret and understand visual information from the world, such as images and videos. They often work on tasks like image classification, object detection, and facial recognition using deep learning frameworks like TensorFlow or PyTorch. Interns typically help with data collection, model training, evaluation, and sometimes deployment, all under the guidance of experienced team members. This role is a great opportunity to gain hands-on experience in machine learning and computer vision while contributing to real-world projects.

What are the key skills and qualifications needed to thrive as an Intern Computer Vision Deep Learning Engineer, and why are they important?

To thrive as an Intern Computer Vision Deep Learning Engineer, you need a solid understanding of machine learning fundamentals, computer vision concepts, and proficiency in programming languages like Python, often supported by coursework or personal projects. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and experience with image processing libraries like OpenCV are typically expected. Strong problem-solving abilities, curiosity, and effective teamwork skills help interns excel in fast-paced research and development environments. These skills are essential for contributing to innovative projects and adapting to the rapidly evolving field of computer vision.
What are popular job titles related to Intern Computer Vision Deep Learning Engineer jobs in Hartford, CT? For Intern Computer Vision Deep Learning Engineer jobs in Hartford, CT, the most frequently searched job titles are:
What job categories do people searching Intern Computer Vision Deep Learning Engineer jobs in Hartford, CT look for? The top searched job categories for Intern Computer Vision Deep Learning Engineer jobs in Hartford, CT are:
Intern Computer Vision Deep Learning Engineer jobs near you
AI Engineer

AI Engineer

Infosys

Hartford, CT • On-site

Full-time

Re-posted 2 days ago

Infosys rating

7.4

Company rating: 7.4 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

107th of 210 rated it services

Job description

Job Summary:
Infosys is a global leader in next-generation digital services and consulting, specializing in transforming data into actionable insights. The role of AI Engineer involves developing and operationalizing machine learning models, ensuring data quality, and collaborating with business and technology teams to create analytics solutions.
Responsibilities:
• Participate in data extraction, transformation, and preparation.
• Resolve common data issues and ensure quality for model development.
• Participate in developing models using statistical or machine learning techniques and collaborate with technology teams to operationalize them into analytics tools or scripts.
• Participate in model testing and validation, selecting the best-performing algorithms based on statistical and business metrics.
• Participate in the development of advanced analytics and machine learning or deep learning models including LLMs using predefined processes and tools like SAS and R/ Python.
• Participate in defining analytics problems; execute visualization, analysis, and predictive modeling with senior support.
• Identify data sources and extract from RDBMS and develop UI/UX for client usage.
• Participate in model performance, while making minor adjustments, and escalate risks or compliance concerns and generate reports on deviations or schedule slippages.
• Proactively participate in detailed documentation of model development, testing, and deployment activities for reproducibility.
• Work closely with business and technology teams to translate requirements into actionable models, while communicating results effectively.
• Apply predefined quality measurement frameworks, if any, to individual project tasks.
• Participate in deploying analytics tools in test and production environment, while ensuring they meet operational requirements.
Qualifications:
Required:
• Strong programming skills in Python
• Hands-on experience with AI/ML frameworks: TensorFlow, PyTorch, LangChain
• Expertise In Generative AI, Including RAG (Retrieval-Augmented Generation), AI Agents / Agentic frameworks, Prompt Engineering
• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.
Preferred:
• Experience in Data Engineering & pipelines (ETL/ELT, streaming, batch processing)
• Proficiency with Microsoft Azure AI ecosystem
• Experience with Databricks (Lakehouse, ML workflows)
• Strong understanding of Snowflake and Data Cloud architectures
• Knowledge of Conversational AI architecture and NLP systems
• Familiarity with CI/CD and MLOps practices
Company:
Infosys is a technology company that offers consulting, outsourcing, cloud infrastructure, program management, and software services. Founded in 1981, the company is headquartered in Bangalore, IND, with a team of 10001+ employees. The company is currently Late Stage.

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